Papers
Satisfaction and Implication of Integrity Constraints in Ontology-based Data Access
Charalampos Nikolaou, Bernardo Cuenca Grau, Egor V. Kostylev et al.
Scalable Bayesian Non-linear Matrix Completion
Xiangju Qin, Paul Blomstedt, Samuel Kaski
Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning
Zhao Zhang, Weiming Jiang, Zheng Zhang et al.
Scalable Semi-Supervised SVM via Triply Stochastic Gradients
Xiang Geng, Bin Gu, Xiang Li et al.
Scaling Fine-grained Modularity Clustering for Massive Graphs
Hiroaki Shiokawa, Toshiyuki Amagasa, Hiroyuki Kitagawa
Scheduling Jobs with Stochastic Processing Time on Parallel Identical Machines
Richard Stec, Antonin Novak, Premysl Sucha et al.
Schelling Games on Graphs
Edith Elkind, Jiarui Gan, Ayumi Igarashi et al.
Scribble-to-Painting Transformation with Multi-Task Generative Adversarial Networks
Jinning Li, Yexiang Xue
Self-attentive Biaffine Dependency Parsing
Ying Li, Zhenghua Li, Min Zhang et al.
Self-Organizing Incremental Neural Networks for Continual Learning
Chayut Wiwatcharakoses, Daniel Berrar
Semantic Characterization of Data Services through Ontologies
Gianluca Cima, Maurizio Lenzerini, Antonella Poggi
Semi-supervised User Profiling with Heterogeneous Graph Attention Networks
Weijian Chen, Yulong Gu, Zhaochun Ren et al.
Sentiment-Controllable Chinese Poetry Generation
Huimin Chen, Xiaoyuan Yi, Maosong Sun et al.
Sequence Generation: From Both Sides to the Middle
Long Zhou, Jiajun Zhang, Chengqing Zong et al.
Sequential and Diverse Recommendation with Long Tail
Yejin Kim, Kwangseob Kim, Chanyoung Park et al.
Sequential Recommender Systems: Challenges, Progress and Prospects
Shoujin Wang, Liang Hu, Yan Wang et al.
Sharing Attention Weights for Fast Transformer
Tong Xiao, Yinqiao Li, Jingbo Zhu et al.
Sharing Experience in Multitask Reinforcement Learning
Tung-Long Vuong, Do-Van Nguyen, Tai-Long Nguyen et al.
Sharpness of the Satisfiability Threshold for Non-Uniform Random k-SAT
Tobias Friedrich, Ralf Rothenberger
Shielded Base Contraction (Extended Abstract)
Marco Garapa, Eduardo Fermé, Maurício D. L. Reis
Similarity Preserving Representation Learning for Time Series Clustering
Qi Lei, Jinfeng Yi, Roman Vaculin et al.
Simple Conditionals with Constrained Right Weakening
Giovanni Casini, Thomas Meyer, Ivan Varzinczak
Simultaneous Prediction Intervals for Patient-Specific Survival Curves
Samuel Sokota, Ryan D'Orazio, Khurram Javed et al.
Simultaneous Representation Learning and Clustering for Incomplete Multi-view Data
Wenzhang Zhuge, Chenping Hou, Xinwang Liu et al.